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Compliance-driven cyber risk analysis of industrial assets within the civil aircraft industry

Compliance-driven cyber risk analysis of industrial assets within the civil aircraft industry

Supervisor(s): Patrick Wagner
Status: finished
Topic: Others
Author: Justin Möhlmann
Submission: 2021-11-15
Type of Thesis: Masterthesis
Thesis topic in co-operation with the Fraunhofer Institute for Applied and Integrated Security AISEC, Garching

Description

To ensure the safety of manufacturing processes within the aircraft industry 
and aviation safety overall, the European Union Aviation Safety 
Agency (EASA) works on new requirements for aircraft manufacturers 
that shall guarantee information security in production processes. Once the 
new regulations, currently discussed within EASAs Notice For Proposed 
Amendment (NPA) 2019-07, enter official EU law, aircraft manufacturers 
will require certification for conforming with EASA NPA 2019-07 to be 
allowed to continue corporate operations. 
Currently, industry-known frameworks like ISO 27005 or IEC 62443-3-2 
are common for conducting information security risk assessments. However, 
these frameworks provide guidelines for risk assessments and aim to 
assist companies in conducting them but hardly present concrete means 
of implementation. Previously, the corporate practice required projects 
with external partners to conduct risk assessments rather than enabling 
employees to complete them themselves. This resulted in additional costs 
for already limited production budgets. 
This work presents a practical risk assessment approach to establish an efficient 
way to conducting information security risk assessments, while conforming 
to EASAs risk assessment requirements. The compliance-driven 
method is derived from a holistic risk analysis based on Fraunhofer AISECs 
Modular Risk Assessment (MoRA) framework and makes use of security 
control questionnaires based on common industry standards to assess the 
security status of a component and the likelihood of exploits. Combined 
with company specific threat impact criteria, this results in an efficient risk 
assessment that can be conducted by machine responsible managers in the 
field without the need for additional resources.